Krishnaram Kenthapadi

According to our database1, Krishnaram Kenthapadi authored at least 70 papers between 2004 and 2021.

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Bibliography

2021
Multiaccurate Proxies for Downstream Fairness.
CoRR, 2021

On Measuring the Diversity of Organizational Networks.
CoRR, 2021

Pairwise Fairness for Ordinal Regression.
CoRR, 2021

Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy.
CoRR, 2021

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Differentially Private Query Release Through Adaptive Projection.
Proceedings of the 38th International Conference on Machine Learning, 2021

Fair Bayesian Optimization.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Towards Unbiased and Accurate Deferral to Multiple Experts.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Minimax Group Fairness: Algorithms and Experiments.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

On the Lack of Robust Interpretability of Neural Text Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization.
CoRR, 2020

Convergent Algorithms for (Relaxed) Minimax Fairness.
CoRR, 2020

Fairness-Aware Online Personalization.
CoRR, 2020

Fair Bayesian Optimization.
CoRR, 2020

Explainable AI in Industry: Practical Challenges and Lessons Learned.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Evaluating Fairness Using Permutation Tests.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Explainable AI in industry: practical challenges and lessons learned: implications tutorial.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Bridging the gap from AI ethics research to practice.
Proceedings of the FAT* '20: Conference on Fairness, 2020

LiFT: A Scalable Framework for Measuring Fairness in ML Applications.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Privacy-preserving Data Mining in Industry.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Explainable AI in Industry.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards Deep and Representation Learning for Talent Search at LinkedIn.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems.
CoRR, 2017

Candidate Selection for Large Scale Personalized Search and Recommender Systems.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

LinkedIn Salary: A System for Secure Collection and Presentation of Structured Compensation Insights to Job Seekers.
Proceedings of the IEEE Symposium on Privacy-Aware Computing, 2017

LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014
Assigning videos to textbooks at appropriate granularity.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Evaluating educational interventions at scale.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Mining Videos from the Web for Electronic Textbooks.
Proceedings of the Formal Concept Analysis - 12th International Conference, 2014

Assigning Educational Videos at Appropriate Locations in Textbooks.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Ranking Twitter discussion groups.
Proceedings of the second ACM conference on Online social networks, 2014

Similarity Search using Concept Graphs.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Privacy via the Johnson-Lindenstrauss Transform.
J. Priv. Confidentiality, 2013

Denials leak information: Simulatable auditing.
J. Comput. Syst. Sci., 2013

Group chats on Twitter.
Proceedings of the 22nd International World Wide Web Conference, 2013

Studying from electronic textbooks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Of hammers and nails: an empirical comparison of three paradigms for processing large graphs.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Electronic Textbooks and Data Mining.
Proceedings of the Web-Age Information Management - 13th International Conference, 2012

Empowering authors to diagnose comprehension burden in textbooks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Quality of textbooks: an empirical study.
Proceedings of the ACM Annual Symposium on Computing for Development, 2012

2011
Data mining for improving textbooks.
SIGKDD Explor., 2011

Identifying enrichment candidates in textbooks.
Proceedings of the 20th International Conference on World Wide Web, 2011

Indexing strategies for graceful degradation of search quality.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Enriching Education through Data Mining.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Enriching textbooks with images.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Achieving anonymity via clustering.
ACM Trans. Algorithms, 2010

Enriching textbooks through data mining.
Proceedings of the First ACM Annual Symposium on Computing for Development, 2010

2009
Releasing search queries and clicks privately.
Proceedings of the 18th International Conference on World Wide Web, 2009

Generating labels from clicks.
Proceedings of the Second International Conference on Web Search and Web Data Mining, 2009

2008
A Survey of Query Auditing Techniques for Data Privacy.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

2006
Towards Robustness in Query Auditing.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Balanced allocation on graphs.
Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

Our Data, Ourselves: Privacy Via Distributed Noise Generation.
Proceedings of the Advances in Cryptology - EUROCRYPT 2006, 25th Annual International Conference on the Theory and Applications of Cryptographic Techniques, St. Petersburg, Russia, May 28, 2006

2005
Decentralized algorithms using both local and random probes for P2P load balancing.
Proceedings of the SPAA 2005: Proceedings of the 17th Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2005

Simulatable auditing.
Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2005

Anonymizing Tables.
Proceedings of the Database Theory, 2005

Two Can Keep A Secret: A Distributed Architecture for Secure Database Services.
Proceedings of the Second Biennial Conference on Innovative Data Systems Research, 2005

2004
Vision Paper: Enabling Privacy for the Paranoids.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004


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